Bioinformatic Analysis of Acute Respiratory Distress Syndrome and Sepsis Reveals Hypoxia Related Genes

Abstract

Abstract Backgroud: Use bioinformatic analysis to identify hypoxia related genes in acute respiratory distress syndrome (ARDS) and sepsis. Methods: Bioinformatic analysis was performed in GSE28750 of sepsis patients and GSE76293 of acute respiratory distress syndrome (ARDS) patients. Then intersected the hypoxia related genes and DEGs to obtain 11 hypoxia-related differentially expressed genes (HRDEGs). GO analysis and GSEA was used to find functional enrichment in diseases. Regulatory network and immunocyte infiltration analysis were performed to evaluate the mechanism in ARDS and sepsis. Results：A total of 11 genes (CAPG, CKS2, CLU, FLVCR1, FUNDC1, HPSE, LCN2, MAPK14, PFKFB3, PLAC8 and TDRD9) were identified as hypoxia-related differentially expressed genes (HRDEGs). GO analysis and GSEA was used to find functional enrichment among HRDEGs. Regulatory network discovered several mechanisms in ARDS and sepsis, and provide correlation between HRDEGs. CIBERSORT found several HRDGEs were correlation with the abundances of immunocytes. Conclusion: Several genes related to hypoxia in ARDS and sepsis were found, associated with pathological progress in disease.